Landseer
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Landseer: Exploring the Machine Learning Defense Landscape
arXiv:2605.27148v2 Announce Type: replace Abstract: Machine learning systems face diverse threats that undermine robustness, privacy, and fairness. Although many defenses have been proposed, each typically addresses a single risk in isolation. Real-world deployments, however, require these defenses to be composed to meet multiple guarantees simultaneously.